tf.keras.optimizers.schedules.LearningRateSchedule
| View source on GitHub |
A serializable learning rate decay schedule.
LearningRateSchedules can be passed in as the learning rate of optimizers in tf.keras.optimizers. They can be serialized and deserialized using tf.keras.optimizers.schedules.serialize and tf.keras.optimizers.schedules.deserialize.
Methods
from_config
@classmethod
from_config(
config
)
Instantiates a LearningRateSchedule from its config.
| Args | |
|---|---|
config | Output of get_config(). |
| Returns | |
|---|---|
A LearningRateSchedule instance. |
get_config
@abc.abstractmethod get_config()
__call__
@abc.abstractmethod
__call__(
step
)
Call self as a function.
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/optimizers/schedules/LearningRateSchedule